GLM Image Metadata Extractor - Node.js Implementation

This Node.js implementation was inspired by glmimage.app. It provides efficient extraction and analysis of metadata from AI-generated images, including model signatures, generation parameters, and provenance tracking.

Features

• PNG Chunk Parsing: Pure JavaScript implementation for reading PNG chunks
• EXIF Metadata Extraction: Extract standard EXIF data from images
• AI Signature Validation: Verify and validate AI model signatures
• Provenance Tracking: Track the origin and generation parameters of AI images
• Async/Await API: Modern promise-based API for async operations

Installation

cd node
npm install

Usage

Basic Usage

const { extractAIMetadata, printMetadataSummary } = require('./index.js');

async function main() {
    const metadata = await extractAIMetadata('generated-image.png');
    printMetadataSummary(metadata);
}

main().catch(console.error);

Creating Metadata Programmatically

const { createMetadataFromData, validateAISignature } = require('./index.js');

const metadata = createMetadataFromData({
    model: 'GLM-4V-Image',
    prompt: 'A beautiful sunset over mountains',
    parameters: { steps: '50', guidance: '7.5' },
    width: 1024,
    height: 1024,
    format: 'PNG'
});

const isValid = validateAISignature(metadata);
console.log(`Valid: ${isValid}`);

Running the Demo

npm start

API Reference

extractAIMetadata(imagePath)

Extracts AI metadata from an image file. Returns a Promise that resolves to an AIMetadata instance.

validateAISignature(metadata)

Validates the AI model signature in the metadata. Returns true if valid.

embedProvenanceMetadata(metadata, source)

Adds provenance information to the metadata object.

printMetadataSummary(metadata)

Prints a formatted summary of the extracted metadata to the console.

createMetadataFromData(data)

Creates a new AIMetadata instance from a plain JavaScript object.

Data Structures

{
  model: 'GLM-4V-Image',
  prompt: 'Image generation prompt...',
  parameters: {
    steps: '50',
    guidance: '7.5',
    seed: '42'
  },
  timestamp: '2026-01-27T00:00:00.000Z',
  provenance: 'glmimage.app',
  signature: 'GLM-Image-v1.0',
  width: 1024,
  height: 1024,
  format: 'PNG'
}

Links

• Source: glmimage.app
• Repository: https://github.com/user/glmimage-app-oss
• NPM Package: https://www.npmjs.com/package/glmimage-app-oss

License

MIT License - see LICENSE for details.